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cs.SE2025
On the Effectiveness of Training Data Optimization for LLM-based Code Generation: An Empirical Study
Shiqi Kuang, Zhao Tian, Tao Xiao +2
Large language models (LLMs) have achieved remarkable progress in code generation, largely driven by the availability of high-quality code datasets for effective training. To furth…
cs.SE2025
Aligning Requirement for Large Language Model's Code Generation
Zhao Tian, Junjie Chen
Code generation refers to the automatic generation of source code based on a given programming specification, which has garnered significant attention particularly with the advance…
cs.SE2025★ 2 cited
Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Trae Research Team, Pengfei Gao, Zhao Tian +12
Software issue resolution is a critical challenge in software engineering and has garnered increasing attention in recent years. With the rapid advancement of large language models…